Introductory Statistics for Aquatic Sciences STATS3010

  • Academic Session: 2018-19
  • School: School of Mathematics and Statistics
  • Credits: 10
  • Level: Level 3 (SCQF level 9)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No

Short Description

This is a recommended course in applied statistics for Aquatic and Freshwater MSc students. It introduces standard probability distributions, parametric confidence intervals, hypothesis tests and simple linear regression, and shows how these methods are relevant applied contexts.

Timetable

2 one-hour lectures per week (Weeks 1 - 10)

4 two-hour tutorial/practical sessions, at fortnightly intervals (Weeks 3, 5, 7 and 9)

Requirements of Entry

Mandatory Entry Requirements- Higher Mathematics

 

Recommended Entry Requirements

Excluded Courses

S1Y, S1Z, S1A

Co-requisites

None

Assessment

Assessment

90-minute, end-of-course examination (80%)

4 short lab reports (4@5%)

 

Reassessment

In accordance with the University's Code of Assessment reassessments are normally set for all courses which do not contribute to the honours classifications. For non honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students, and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions are listed below in this box.

There will be no opportunity for re-assessment of lab work.

Main Assessment In: December

Are reassessment opportunities available for all summative assessments? No

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

Course Aims

The aims of this course are:

■ to make students aware of how statistical issues should affect the design of observational and experimental studies in environmental sciences

■ to extend students' knowledge of random variables, especially standard probability distributions

■ to introduce point estimation, confidence intervals and hypothesis testing

to introduce simple linear regression as a method for modelling data and obtaining predictions

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ describe how to design simple observational and experimental studies, with a view to avoiding bias and improving precision

■ use properties associated with the Binomial, Multinomial and Normal distributions, using tables of values where appropriate

■ calculate and interpret a point estimate and a confidence interval for a population mean or proportion, or a difference between population means or proportions

■ calculate and interpret a prediction interval

■ test hypotheses about a population mean or proportion, or a difference between population means or proportions, and interpret the results

■ carry out a chi-squared test of association and interpret the results

■ fit and interpret a simple linear regression model, and comment on its fit to the data

■ use a fitted regression model to calculate confidence and prediction intervals

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.

Students must sit the end-of-course examination and submit at least 3 out of 4 lab reports.